A compound-Poisson Bayesian approach for spare parts inventory forecasting
Year of publication: |
2021
|
---|---|
Authors: | Babai, M. Zied ; Chen, Huijing ; Syntetos, A. A. ; Lengu, D. |
Published in: |
International journal of production economics. - Amsterdam [u.a.] : Elsevier, ISSN 0925-5273, ZDB-ID 1092526-0. - Vol. 232.2021, p. 1-14
|
Subject: | Bayesian method | Empirical investigation | Forecasting | Intermittent demand | Inventory | Prognoseverfahren | Forecasting model | Bayes-Statistik | Bayesian inference | Lagermanagement | Warehouse management | Lagerhaltungsmodell | Inventory model | Ersatzteil | Spare parts | Theorie | Theory | Nachfrage | Demand |
-
Spare parts demand forecasting : a review on bootstrapping methods
Hasni, M., (2019)
-
Ye, Yuan, (2022)
-
Intermittent demand forecasting for spare parts : a critical review
Pinçe, Çerağ, (2021)
- More ...
-
Spare parts management : linking distributional assumptions to demand classification
Lengu, D., (2014)
-
On the benefits of delayed ordering
Syntetos, A. A., (2015)
-
Supply chain forecasting when information is not shared
Ali, Mohammad M., (2017)
- More ...